Volume 13 Issue 6
Feb.  2023
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Wenyu Jiang, Fei Wang, Xiaocui Zheng, Xinxin Zheng, Xiaohui Qiao, Xin Li, Qingxiang Meng. Toward Interoperable Multi-hazard Modeling: A Disaster Management System for Disaster Model Service Chain[J]. International Journal of Disaster Risk Science, 2022, 13(6): 862-877. doi: 10.1007/s13753-022-00450-1
Citation: Wenyu Jiang, Fei Wang, Xiaocui Zheng, Xinxin Zheng, Xiaohui Qiao, Xin Li, Qingxiang Meng. Toward Interoperable Multi-hazard Modeling: A Disaster Management System for Disaster Model Service Chain[J]. International Journal of Disaster Risk Science, 2022, 13(6): 862-877. doi: 10.1007/s13753-022-00450-1

Toward Interoperable Multi-hazard Modeling: A Disaster Management System for Disaster Model Service Chain

doi: 10.1007/s13753-022-00450-1
Funds:

This research was supported by the Disciplines Distribution Project of Shenzhen, China (Grant No. JCYJ20180508152055235) and the Key Field Research and Development Program of Guangdong, China (Grant No. 2019B111104001).

  • Received Date: 2022-10-06
  • Accepted Date: 2022-10-06
  • Available Online: 2023-02-09
  • Publish Date: 2022-11-07
  • A natural hazard-related disaster event often causes a series of secondary disasters, forming a disaster chain. Modeling the evolution of disaster chains in multi-hazard scenarios is crucial for risk governance and urban resilience. However, existing multi-hazard models are limited by complex model design and fixed disaster types, making it impossible to ensure flexible reactions to complex and diverse scenarios. This study presents a disaster management system for disaster model service chain (DMSC) to implement interoperable multi-hazard modeling. To achieve efficient model interaction in the DMSC, a management module is designed to normalize heterogeneous single-hazard models based on disaster system theory and the Open Geospatial Consortium standards, enabling them to be accessible, reusable, and interoperable. The normalized models are then adaptively orchestrated through an orchestration module to establish optimal executable DMSCs for different multi-hazard scenarios. Taking an earthquake disaster chain as a case study, we demonstrate that the disaster management system shows stable and flexible performance for multi-hazard modeling.
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